Get Involved in Python Development for the Geosciences!
07 June 2017
You may have noticed that Unidata Program Center developer Ryan May spends a bit of his time evangelizing the use of the Python language in the atmospheric sciences. This week he appears over on Johnny Lin's PyAOS (Python for the Atmospheric and Oceanic Sciences) blog, weighing in on the future of AOS Python.
Ryan's post, titled “What's needed for the Future of AOS Python? Get Involved!,” lays out the case for widespread community involvement in AOS Python projects.
[Read More]03 April 2017
Siphon 0.4.1 has been released with fixes for some minor issues in 0.4.0, including various fixes for catalog parsing, as well as updated documentation. Full releases notes are available on the GitHub Release page
Siphon packages are available for Conda on the conda-forge channel, and for pip from the Python Package Index.
Let us know if you run into any problems, either at Siphon's issue tracker, or on the Unidata python-users list.
[Read More]Unidata's Jupyter Notebook Gallery
07 October 2016
As part of an ongoing effort at the Unidata Program Center to bring Python-based workflows to the atmospheric science community, UPC developers have created the Unidata Jupyter Notebook Gallery to showcase tools and techniques that may be of interest to community members. The gallery is a collection of Jupyter notebooks that demonstrate ways to work with atmospheric science data using Python. The notebooks use a variety of tools available in the Python ecosystem, including several developed by Unidata.
[Read More]19 July 2016
Recently I had the great pleasure of attending the SciPy 2016 conference. SciPy is an annual conference focused on the use of the Python programming language for scientific applications. The conference program consists of two days of tutorials, three days of presentations, and a final two days of code sprints.
[Read More]Successful Python Training Workshop in Madison, Wisconsin
19 July 2016
From June 20th to June 24th 2016, Unidata Staff members Ryan May and Sean Arms led a Python Training workshop in Madison, Wisconsin. Within this four-day stretch, two Python training classes were held, each one two full days; the workshop content was based on Unidata's 3-day Annual Python Training Workshop, but tailored to the specific needs of the Space Science and Engineering Center (SSEC) and the Atmospheric and Oceanic Science (AOS) department at the University of Wisconsin, Madison. This was the fourth Python workshop Unidata staff have led, but the first held outside of the Unidata Program Center (UPC), located at UCAR's Foothills Lab in Boulder, Colorado.
[Read More]
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